Evidence map›Paper›PMID 29879031›Full record

ArticleMedicine2018

The association of different types of cerebral infarction with post-stroke depression and cognitive impairment.

Jun Tu, Ling-Xiao Wang, Hong-Feng Wen, Yi-Cheng Xu, Pei-Fu Wang

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Jun TuDepartment of Neurology, Aerospace Center Hospital, Beijing, China.
Ling-Xiao Wang
Hong-Feng Wen
Yi-Cheng Xu
Pei-Fu Wang
Aerospace Center Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate post-stroke depression (PSD) and cognitive impairments in patients with different types of cerebral infarction.A total of 110 patients with cerebral infarction treated in our hospital from January 2015 to February 2016 were included in present study. Forty-seven patients were PSD patients and 63 patients were non-PSD patients. The Hamilton Depression Rating Scale (HAMD) and Mini-Mental State Examination (MMSE) were employed to assess depression and cognition of patientsAmong PSD patients, the proportion of patients with partial anterior circulation infarction (PACI, 68.75%) was significantly higher than patients with lacunar circulation infarction (LACI, 29.17%) and posterior circulation infarction (POCI, 26.67%) (P < .05). No significant difference was found in PSD patients with LACI and POCI (P > .05). The MMSE score of patients with PACI (18.05 ± 2.61) was lower than patients with POCI and LACI (P < .05), however, no significant difference was found in patients with LACI and POCI (P > 0.05). The incidences of cognitive impairment in patients with PACI, LACI, and POCI were 12.50%, 14.58%, and 13.33%, respectively. The MMSE score of PSD patients (21.23 ± 2.12) was significantly lower than non-PSD patients (P < .05).Compared with LACI and POCI patients, PACI patients had a higher incidence of PSD and impaired cognitive functions. In addition, affective disorders such as depression may be correlated with cognitive impairment in patients with cerebral infarction.

Indexed as

Cerebral InfarctionCognitive DysfunctionDepressionFemaleHumansMaleMiddle AgedPrevalenceStroke

Identifiers

PMID29879031
PMCPMC5999486
OpenAlexW2806012679

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.